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Phd Machine Learning Jobs in Indiana (NOW HIRING)

Indiana University

Research Scientist

Bloomington, IN · On-site

$70K - $75K/yr

... machine learning and graph theoretics, one can discover multiple developmental pathways in cross ... PhD in Psychology or related field How to Apply: Interested candidates should apply at by ...

Pae

Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ... PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with ...

Pae

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Indiana is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $24.23 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,169 per year, or $21.7 per hour.

Research Scientist

Indiana University Academic Positions

Bloomington, IN • On-site

$70/hr

Other

Re-posted 2 days ago

Job description

Position Details
Title Research Scientist Appointment Status Non-Tenure Track Department IU Bloomington Psychological & Brain Sciences Location Bloomington Position Summary
Research Scientist for Indiana University Cognitive Development Lab

The Cognitive Development Lab at Indiana University-Bloomington (PI: Linda Smith) invites applications for a Research Scientist to assist in the creation and analysis of a shareable data set (of already collected data) from nearly 10,000 children ages 15 to 36 months. There is both a scientific premise and a methodological premise underlying the project.
The scientific premise is that developmental changes in visual cognition and early vocabulary development interact, with advances in visual cognition supporting early language learning and also being changed by language learning. The literature indicates multiple causal factors and inflection points that can disrupt this early stage of vocabulary growth- limitations in audition, or vision, in phonological representations, in visual attention, in the composition of early vocabularies, and in the quality and composition of language input.
The methodological premise concerns how to leverage all the data that has been already collected on these issues; experiments with many of the same overlapping measures designed with specific hypotheses in mind. The methodological premise for this project is that given some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in cross-sectional data and the factors that underlie the trajectories of those pathways. These inferred pathways then can be empirically tested in longitudinal studies.
Strong applicants will have quantitative and computational training as well as experience in behavioral science, ideally in development, language, or visual cognition.
The successful applicant will have:
Excellent research track record.
Excellent programming skills.
Experience in computational and statistical methods and analyses including either graph theoretic of machine learning approaches (or both).
A track record of initiative, ability to lead a team (of undergraduates/masters students) and effective teamwork.
Fit of this project with their own career trajectory/goals
PhD in Psychology or related field


How to Apply: Interested candidates should apply at
https://indiana.peopleadmin.com/postings/26344 by submitting a cover letter describing your interests and prior experiences, CV, and contact information for three references. Applications will be accepted on an ongoing basis until the position is filled. Application review will start December 1, 2024. Anticipated start date is February 1, 2025. Start date is negotiable.

Questions regarding the position or application process can be directed to: Dr. Linda Smith (smith4@iu.edu).
Basic Qualifications
Excellent research track record.
Excellent programming skills.
Experience in computational and statistical methods and analyses including either graph theoretic of machine learning approaches (or both).
A track record of initiative, ability to lead a team (of undergraduates/masters students) and effective teamwork.
Fit of this project with their own career trajectory/goals
PhD in Psychology or related field
Department Contact for Questions
Dr. Linda Smith (smith4@iu.edu)
Additional Qualifications Salary and Rank $70-75,000, RS3 Special Instructions For Best Consideration Date 12/01/2024 Expected Start Date 02/01/2025 Posting Number IU-101078-2024

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